Taman Desa Putera

Tmn Desa Putera, Kampung Batu Tujuh, 41200 Klang, Selangor, Malaysia

Property Transactions

14 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,600 sqft
2-Sty Terrace
RM639,000
Off Jalan Rajion
1,615 sqft · RM396 PSF
RM669,000
Off Jalan Rajion
1,615 sqft · RM414 PSF
RM639,000
Off Jalan Rajion
1,615 sqft · RM396 PSF
RM639,000
Jalan Desa Putera 36/Ks08
1,765 sqft · RM362 PSF
RM639,000
Jalan Desa Putera 6/Ks08
1,765 sqft · RM362 PSF
RM639,000
Jalan Desa Putera 36/Ks08
1,765 sqft · RM362 PSF
RM669,000
Jalan Desa Putera 36/Ks08
1,765 sqft · RM379 PSF
RM721,000
Jalan Desa Putera 36/Ks08
1,765 sqft · RM408 PSF
RM480,000
Jalan Desa Putera 10/Ks08
1,737 sqft · RM276 PSF
+5 more
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Market Snapshot

Residential

RM639,000

RM362 psf

Median transaction price

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Tmn Desa Putera, Kampung Batu Tujuh, 41200 Klang, Selangor, Malaysia

Maps

Taman Desa Putera in Klang, Selangor recorded 14 subsale transactions in 2022, with a median price of RM639K and a median price per square foot (PSF) of RM362.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM639K, with most transactions falling within a stable range of RM536K to RM721K, and a typical market range of RM593K to RM685K.

Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.

The median PSF stands at RM362, with core pricing between RM300 and RM424. Market pricing typically extends from RM342.61 to RM381.36, reflecting moderate variation in unit pricing. The spread of RM38.75 (IQR) and deviation of RM62 (MAD) suggest moderate price variations reflecting different property features.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.